Factors Affecting Productivity of Upland and Lowland Rice Farms in Matalom, Leyte: A Quantile Regression Approach
Journal Title: Review of Socio-Economic Research and Development Studies - Year 2017, Vol 1, Issue 1
Abstract
This study investigates the determinants of productivity in selected upland and lowland rice farms in Matalom, Leyte using quantile regression approach. Data on rice production are obtained from 40 upland and 40 lowland rice farming households which are randomly selected across all 30 barangays in Matalom, Leyte. Quantile regression analysis is used to provide complete characterization of the determinants of productivity at the higher and lower tails of the distribution. Results show that the factors affecting rice production differ across distribution. In the lower quantile, labor cost and fertilizer cost are the main determinants of rice production while in the median quantile, labor cost, fertilizer cost and farm area positively affect rice production. Moreover, in the upper quantile there are more determinants positively affecting rice production. These include labor cost, fertilizer cost, farm area, household size, male household head, and technical assistance provided to farmers. In addition, results of quantile regression are compared with ordinary least squares (OLS) estimation. The comparative analysis shows that there are some factors which do not have significant coefficient in the OLS estimation but are found to have significant effects with quantile regression. This shows that the coefficients estimated through OLS only provide a partial view of the determinants of rice productivity. By performing quantile regression, we are able to identify significant determinants of productivity which cannot be detected using the mean based regression approach.
Authors and Affiliations
Brenda M. Ramoneda and Junnel K. Pene
Keywords
Related Articles
- EP ID EP691446
- DOI -
- Views 161
- Downloads 0
Assessing the Impact of Super Typhoon Yolanda (Haiyan) on the Livelihood of Coconut Dependent Farmers in Kananga, Leyte and Sogod, Southern Leyte, Philippines
The coconut industry was heavily devastated when super typhoon Yolanda (internationally known as Haiyan) hit Eastern Visayas, Philippines in November 2013. This study aims to assess the impact of super typhoon Yolanda on...
Determinants of Carbon Emission among Households in Eastern Visayas, Philippines
Information and studies about carbon emissions are available on national level but it is very limited on regional level. Hence, we focus on Eastern Visayas and aim to investigate the influence of rising income and other...
Effectiveness of Public Spending in Improving Rural Development: An Application using Seemingly Unrelated Regression
This study investigates the effectiveness of public spending on agriculture and education in analyzing its impact on the quality of life in the Philippines using the methods of seemingly unrelated regression. We used the...
Determinants of International Migration of the Philippine Labor Force: A Panel Data Analysis
The continuous outflow of the Philippine labor force contributes to brain drain or the loss of skilled workers. Concerning to this, past researches separately modelled international migration based from push and pull fac...
Economic Impact of Super Typhoon Yolanda on the Livelihood of Coconut (Cocos nucifera) Farmers in Selected Areas of Leyte
This paper examines the impact of the super typhoon Yolanda on the livelihood of coconut farmers in Leyte using quantitative approach. Impact evaluation answers to the cause-and-effect questions thus providing informatio...